Processing complex, never-ending datasets traditionally
requires complex and expensive infrastructure.
Streaming systems simplify the architecture by processing workloads more evenly in time and can be
run
with significantly less hardware.

Streaming Data is data that is generated continuously by thousands of data sources which can be so large that it is not feasible
to
store it all on disk. Streaming systems let
you process data on-the-fly and keep only the interesting signals.

HOW WE CAN HELP

Many future digital business cases are based on real-time data processing, but today's IT ecosystems
often struggle to support such complex scenarios. Nativ3 is our answer to let you taste the digital
future based upon one of your business cases. Starting with an assessment of your existing data and IT
infrastructure we support you step by step towards a fully automated business case. Our job is done when
you have gained the necessary insights to repeat such an automation process. Let us inspire you too
towards a data driven culture!

"SPOUD enables us to accelerate the implementation of
data driven Use Cases in order to access and connect our Data in the fastest way
possible."

Jérôme Koller

| Head of Data & Analytics at la Mobilière

STREAM PROCESSING SOLUTIONS

Telemetry and Application Monitoring

Large IT systems generate large volumes of logs with a bewildering amount of diversity. A
real-time analysis of these interconnected applications is essential to detect
bottlenecks
and anomalies in a timely manner and thus keep critical systems operational.

Real-time Advertising Analytics

For many retailers, sales are typically represented by clicks on a website. Handling this
stream of clicks in real-time allows business to improve their advertisement campaigns
or
recommend new products to existing customers.

Predictive Maintenance

Large industrial equipment such as elevators or wind turbines
rely on an analysis of sensor
measurements to provide alerts when a machine is malfunctioning. These sensors produce a
huge amount of streaming data which offers new opportunities and challenges. For
example,
one can deploy machine learning models to predict the next malfunction, before it
occurs.

OUR CUSTOMERS

WORK WITH EXPERTS

Our extensive range of skills allows us to take on any project with confidence.